List of AI News about responsible AI development
Time | Details |
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2025-08-28 19:25 |
7 Principles Manifesto: AI Research Philosophy by Timnit Gebru and Mila Sets New Standards
According to @timnitGebru, a new AI research philosophy manifesto with 7 guiding principles was crafted, led by Mila, a recognized leader in the field. The manifesto establishes actionable standards aimed at improving transparency, ethics, and collaborative practices in artificial intelligence research, as detailed in the linked document (source: @timnitGebru, Twitter, August 28, 2025). This initiative signals a shift toward more responsible AI innovation, highlighting opportunities for organizations to align with best practices and enhance trust in AI systems. |
2025-08-21 10:36 |
How Public-Private Partnerships Drive AI Innovation and Safety: Anthropic Shares Best Practices for AI Companies
According to Anthropic (@AnthropicAI), effective public-private partnerships can ensure both AI innovation and robust safety measures. Anthropic is sharing their comprehensive safety approach with Future of Life Institute (fmf_org) members, emphasizing that any AI company can implement these protections to enhance responsible AI development. This initiative aims to set industry standards, fostering practical applications of AI that are both cutting-edge and secure, while opening new business opportunities for compliance-driven AI solutions (Source: Anthropic Twitter, August 21, 2025). |
2025-06-29 19:38 |
OpenAI Board Member Larry Summers' Controversial Ethics Raise Concerns About AI for Humanity
According to @timnitGebru, recent attention has focused on OpenAI board member Larry Summers due to his historically controversial statements on economic ethics, such as the logic behind dumping toxic waste in low-wage countries (source: @timnitGebru, June 29, 2025). This scrutiny is particularly relevant to the AI industry, as OpenAI positions itself as a leader in advancing artificial intelligence for the benefit of humanity. The discussion around Summers' ethical views raises important questions about corporate governance, responsible AI development, and the alignment of AI leadership with global societal values. For businesses, this highlights the growing importance of ethical oversight, transparency, and stakeholder trust in the rapidly evolving AI sector. |